A review on salivary biomarkers in carcinoma diagnosis

Meena Rakesh Kumar, Pabri Reena, S. Prashant, R. Priya, Raj Shobhit, Verma Navneet Kumar
{"title":"A review on salivary biomarkers in carcinoma diagnosis","authors":"Meena Rakesh Kumar, Pabri Reena, S. Prashant, R. Priya, Raj Shobhit, Verma Navneet Kumar","doi":"10.53022/oarjms.2021.1.1.0016","DOIUrl":null,"url":null,"abstract":"Carcinoma is the 2nd leading mortality in the U.S. Signs & symptoms include typically unspecific until the tumours metastasize. Hence, an urgency is there for quick, precise, and non-invasive carcinoma diagnosis, rapid detection, diagnosis, stage surveys, & forecasts. Saliva is a multi-structural fluid, found in the oral region, containing secretions from primary and minor salivary glands. Species can even be found in blood-present molecules including Deoxyribo Nucleic Acids, RNAs, hormones, metabolites, and microbiota. Recently, saliva testing received considerable interest in identifying specific biomarkers as sample collection and processing is quick, cost-effective, accurate and doesn’t put any distress on the patient. We examine recent salivary biomarkers of systemic carcinoma by separating them into genomically, transcriptomically, proteomically, metabolomic and microbially dependent forms.","PeriodicalId":19492,"journal":{"name":"Open Access Research Journal of Multidisciplinary Studies","volume":"18 4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Access Research Journal of Multidisciplinary Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53022/oarjms.2021.1.1.0016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Carcinoma is the 2nd leading mortality in the U.S. Signs & symptoms include typically unspecific until the tumours metastasize. Hence, an urgency is there for quick, precise, and non-invasive carcinoma diagnosis, rapid detection, diagnosis, stage surveys, & forecasts. Saliva is a multi-structural fluid, found in the oral region, containing secretions from primary and minor salivary glands. Species can even be found in blood-present molecules including Deoxyribo Nucleic Acids, RNAs, hormones, metabolites, and microbiota. Recently, saliva testing received considerable interest in identifying specific biomarkers as sample collection and processing is quick, cost-effective, accurate and doesn’t put any distress on the patient. We examine recent salivary biomarkers of systemic carcinoma by separating them into genomically, transcriptomically, proteomically, metabolomic and microbially dependent forms.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
涎腺生物标志物在癌症诊断中的研究进展
癌症是美国第二大致死疾病,其体征和症状在肿瘤转移前通常不明确。因此,迫切需要快速、精确和非侵入性的癌症诊断、快速检测、诊断、分期调查和预测。唾液是一种多结构的液体,存在于口腔区域,含有主要和次要唾液腺的分泌物。物种甚至可以在血液中的分子中找到,包括脱氧核糖核酸、rna、激素、代谢物和微生物群。最近,唾液测试在识别特定生物标志物方面受到了相当大的兴趣,因为样本采集和处理快速、经济、准确,而且不会给患者带来任何痛苦。我们通过将其分为基因组学、转录学、蛋白质组学、代谢组学和微生物依赖形式来研究近期系统性癌的唾液生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Predictive analytics for financial compliance: Machine learning concepts for fraudulent transaction identification Strategies for engaging stakeholders in data governance: Building effective communication and collaboration Integrating agile methodologies into data governance: Achieving flexibility and control simultaneously Blockchain technology in financial services: enhancing security, transparency, and efficiency in transactions and services Ensuring compliance with regulatory and legal requirements through robust data governance structures
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1